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Glossario Apparound

This section contains a collection of terms related to the digitization of sales processes, the latest innovations in technology and marketing, each accompanied by an explanation of the meaning or other observations.

Contract Lifecycle Management (CLM): what is it and how it works

Contract Lifecycle Management (CLM) is a software solution that helps companies manage the entire lifecycle of their contracts, from contract creation to execution, including renewals and terminations. Implementing a contract management system like CLM improves efficiency, reduces risks, and ensures compliance with current regulations. Optimizing the contract lifecycle is essential for modern businesses looking to maintain control over every contract stage.

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Contract Lifecycle stages

Un venditore alle prese con la firma di un contratto

CLM covers every phase of a contract, providing full control throughout the process:

  • Drafting: contract creation starts with a pre-approved template, ensuring legal compliance and consistency.

  • Negotiation: the contract is discussed and modified to meet the needs of all parties involved.

  • Approval: in this stage, contracts are reviewed and approved internally to ensure accuracy and compliance with company policies.

  • Execution: signing—often digital—speeds up execution times and reduces the costs associated with paper-based management.

  • Post-signature management: monitor performance, manage deadlines, and obligations to ensure that contract terms are met.

  • Review and renewal: when a contract expires, CLM helps assess performance to decide whether to renew or modify it.

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How technology interacts with CLM

Integrating technologies such as artificial intelligence (AI) and machine learning (ML) into CLM brings significant benefits for contract management. These advanced technologies enable automation and optimization of multiple key processes:

  • Contract creation automation: AI generates drafts using pre-approved templates, reducing the risk of errors and speeding up the drafting process.

  • Real-time analysis: with AI, it’s possible to analyze contracts to identify risks, inconsistencies, and suggest alternatives during negotiation.

  • Simplified metadata management: AI makes it easier to extract key data from contracts and integrate it into corporate workflows, improving efficiency.

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Challenges in implementing CLM

Contract Lifecycle Management

Implementing a Contract Lifecycle Management system presents some challenges, but with the right strategies, these can be overcome:

  • Employee resistance to change, which can be addressed with targeted training.

  • Complex integration with other enterprise IT systems.

  • Security and privacy of contract data, requiring robust solutions to protect sensitive information.

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Benefits of AI in CLM

Integrating AI into CLM offers tangible benefits, enhancing contract management:

  • Reduced review times: automation reduces document review times, allowing staff to focus on more strategic activities.

  • Proactive risk management: with alert systems and customizable dashboards, companies can proactively manage contract risks, improving compliance and reducing penalties.

  • Continuous process optimization: constant monitoring of contract performance helps identify areas for improvement and optimize contract management processes.

Implementing a Contract Lifecycle Management system with AI not only simplifies contract management but also transforms business strategies, making them more efficient and competitive.

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Contract Lifecycle Management (CLM) is the process of managing a company’s contract lifecycle—from creation and negotiation to approval, execution, and review. It’s essential for businesses because it improves compliance, reduces risks, and increases efficiency in contract processes, directly impacting the bottom line.

The key benefits include:

  • Reduced contract cycle times through automation.

  • Improved compliance and risk management.

  • Optimized contract performance and taking advantage of renewal opportunities.

  • Centralized and accessible contract information for faster, more informed decisions.

AI can transform CLM in several ways:

  • Automated drafting: Automatically generating contract drafts using predefined templates.

  • Contract analysis: Automatically identifying risky or non-compliant clauses.

  • Data management: Automatically extracting and analyzing metadata to improve search and reporting.

  • Decision support: Providing predictive insights based on historical contract data analysis.

Common challenges include resistance to change among staff, complex integration with other IT systems, and managing data security. To overcome these challenges, it’s essential to:

  • Conduct thorough and continuous user training.

  • Develop a detailed implementation plan with clear milestones.

  • Ensure CLM solutions comply with data security standards.

CLM helps businesses stay compliant with regulations by:

  • Standardizing contract processes to ensure consistency with laws and regulations.

  • Providing full audit trails of changes for transparent accountability.

  • Sending automatic alerts and notifications for contract reviews and renewal deadlines to prevent unintentional breaches.